Title: Assessment of knee joint motor disability improvement rate using kinect sensor

Authors: Esmaeil Khaleghi; Hadi Soltanizadeh; Masoume Gholizade; Farhad Azadi; Mohammad Zahraei; Shib Sankar Sana

Addresses: Faculty of Electrical and Computer Engineering, Semnan University, Semnan, Iran ' Faculty of Electrical and Computer Engineering, Semnan University, Semnan, Iran ' Faculty of Electrical and Computer Engineering, Semnan University, Semnan, Iran ' University of Social Welfare and Rehabilitation Sciences, Tehran, Iran ' Farmanie Hospital, Tehran, Iran ' Department of Mathematics, Kishore Bharati Bhagini Nivedita College, Ramkrishna Sarani, Kolkata – 700060, India

Abstract: This study enhances disability recovery detection in knee osteoarthritis patients by evaluating a fuzzy system for diagnosing knee pain severity and tracking recovery. A kinect sensor analysed three-dimensional gait data from 48 patients, with 24 for training and 24 for testing. Based on expert-defined rules, the system categorised mobility impairments and aligned closely with clinical assessments. It provided real-time feedback, improved treatment personalisation, and reduced evaluation subjectivity. The results demonstrate its reliability for clinical integration, offering accurate diagnosis and recovery monitoring. This approach could enhance treatment outcomes and aid in managing knee joint disorders and motor disabilities.

Keywords: knee joint; kinect sensor; motor disability; recovery rate.

DOI: 10.1504/IJBET.2025.149325

International Journal of Biomedical Engineering and Technology, 2025 Vol.49 No.1, pp.37 - 58

Received: 29 Nov 2024
Accepted: 06 Feb 2025
Published online: 24 Oct 2025 *

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